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10 Nov 2025

Senior Growth Analyst – Product Analytics at M-KOPA Solar

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Job Description

M-KOPA’s mission is to make high quality energy affordable to everyone. OUR GROWTH SO FAR… M-KOPA has connected more than 400,000 homes in Kenya,Tanzania and Uganda to solar power with over 550 new homes being added every day.

Senior Growth Analyst – Product Analytics

Key responsibilities include:

  • Building our Looker analytics layer: Collaborate with analytics engineers to create reusable LookML data models, set up governed metrics, automated data tables, user permissions, and use Git for version control
  • Moving from spreadsheets to a single source of truth: Audit Excel files, recreate them as data models using dbt, and replace manual tracking with automated Looker dashboards
  • Leading the transition to data-driven tools: Help teams migrate from manual spreadsheet tracking to automated dashboards, including migrating funnel data input into structured systems
  • Building automated dashboards: Create dashboards for upgrade conversion rates, repeat purchase behaviour, customer lifetime value (LTV), and unit economics
  • Designing agent performance and incentive analytics: Build dashboards tracking call volume, conversion rates, talk time efficiency, lead quality, and revenue per agent. Design data-driven incentive structures and real-time leaderboards
  • Calculating and tracking customer lifetime value: Build models estimating profit per customer cohort and track early signals predicting long-term value

Your Analytics Environment 

Tools & Technologies:

  • Data transformation: dbt, SQL
  • Visualization: Looker, LookML
  • Product analytics: Amplitude, Mixpanel, Statsig
  • CRM & engagement: Braze, CleverTap, Fresh Desk
  • Analysis: Python or R
  • Data pipeline: Fivetran, Stitch, Airbyte
  • Version control: Git

Required Experience:

  • Proven track record in product analytics at fintech, telco, e-commerce, or subscription company
  • Strong SQL skills and experience with dbt for building reliable data models
  • Hands-on experience with Looker (dashboards, LookML, data governance and permissions)
  • Python or R for analysing experiments, building cohort models, and calculating customer lifetime value
  • Experience combining data from multiple sources (Amplitude, Mixpanel, Statsig, Braze, CleverTap, call-center data)
  • Understanding of experiment design and analysis
  • Experience designing performance metrics and incentive structures


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : November 30, 2025





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